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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis FREE CHAPTER 2. Data Preprocessing 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Calculated by steam

In 1821, a young Cambridge student named Charles Babbage was poring over some trigonometric and logarithmic tables that had been recently computed by hand. When he realized how many errors they had, he exclaimed, "I wish to God these calculations had been executed by steam." He was suggesting that the tables could have been computed automatically by some mechanism that would be powered by a steam engine.

Calculated by steam

Babbage was a mathematician by avocation, holding the same Lucasian Chair of Mathematics at Cambridge University that Isaac Newton had held 150 years earlier and that Stephen Hawking would hold 150 years later. However, he spent a large part of his life working on automatic computing. Having invented the idea of a programmable computer, he is generally regarded as the first computer scientist. His assistant, Lady Ada Lovelace, has been recognized as the first computer programmer.

Babbage's goal was to build a machine that could analyze data to obtain useful information, the central step of data analysis. By automating that step, it could be carried out on much larger datasets and much more rapidly. His interest in trigonometric and logarithmic tables was related to his objective of improving methods of navigation, which was critical to the expanding British Empire.

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Java Data Analysis
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787285651
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